Josué Cabrera's research while affiliated with Universidad de Las Palmas de Gran Canaria and other places
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Publications (12)
The speech emotion recognition has a huge potential in human computer interaction applications in fields such as psychology, psychiatry and affective computing technology. The great majority of research works on speech emotion recognition have been made based on record repositories consisting of short sentences recorded under laboratory conditions....
The use of bioacoustics to identify animal species has huge potential for use in biology and conservation research. Fields that could be greatly enhanced by the use of bioacoustical techniques include the study of animal behavior, soundscape ecology, species diversity assessments, and long-term monitoring - for example to further our understanding...
Frequential and time lineal parameters have shown a good performance in the recognition of bat species and nowadays there are many works which obtain those characteristics very accurately. However, it is necessary to move forward and test the capabilities of other characterizations on bioacoustics successfully used in other fields. In this work the...
The automatic speech emotion recognition has a huge potential in applications of fields such as psychology, psychiatry and the affective computing technology. The spontaneous speech is continuous, where the emotions are expressed in certain moments of the dialogue, given emotional turns. Therefore, it is necessary that the real-time applications ar...
A wide range of new applications can arise from the emotional state assessment obtained from speech signal, which represents a marked improvement in the human-machine interfaces and becomes an important research area in the last years. The study of emotions is not a trivial task and involves a degree of difficulty. The great majority of researches...
In this paper we present the use of emotions in security. The access control security systems by speech recognition can be complemented by means of an emotions discrimination system from the speech. An emotions recognition system has the advantage of increasing the security allowing identifying if an authorized user in the system is being coerced w...
A simple and effective method of automatic discrimination between emotional and unemotional speech is presented. Traditional methods of emotional discrimination use prosodic and paralinguistic features, which are determined by a linguistic segmentation of the locution. However, these methods are not appropriate in real time applications because of...
The aim of this paper is to analyze the improvements that are observed in the glottal excitation synthesizers when the possible manifestations of non-linear behavior are characterized in glottal excitation. This paper proposes a new model based on the modification of a classic glottal excitation synthesizer and to study the improvements regarding d...
En el ámbito de la evaluación acústica del sistema fonador, las diferentes herramientas conocidas no están exentas de la necesidad de interpretar sus resultados y de un conocimiento amplio de las características de la señal de voz en los diferentes dominios de representación. En este trabajo se presenta una simple y robusta herramienta de software...
Citations
... However, in a natural environment, people express their speech in a continuous way and their emotions may change with time. In this regard, work has been done [241,242] to detect the points in a speech signal where emotions change, followed by automatic logical decomposition of continuous speech at those points. Even though a few approaches are available to solve this problem of mixed emotion utterances in natural databases, they are not much accurate. ...
... They implemented various reconstruction algorithms for different types of biomedical signals and different applications with under-sampled data. Cabrera at al. in [10] present a tool for training biomedical engineers in the BSP field. Different signal processing techniques are implemented with this tool. ...
... However, these methods are either designed to detect simple calls of short duration (e.g. anuran calls; Alonso et al., 2017;Colonna et al., 2015) or calls of roughly fixed length (Stiffler et al., 2018;Zhang & Li, 2015). In this paper, we develop methods to tackle structured calls of the sort illustrated in Figure 1. ...
... In lie detection research, several studies have combined psychological computing and achieved positive progress. Existing methods of speech lie detection include physiological information, natural language processing, and acoustic feature parameter detection (Alonso et al., 2015;Hamilton, 2005;Hu et al., 2012;Zhang et al., 2002). These are explained as follows . ...
... To improve the controller performance, different evolutionary algorithms have been used in order to tune the controller parameters. The BA based on the echolocation behavior of bats has been applied for optimal design of the engineering systems (Yang 2010;Rodrigues et al. 2014;Alonso et al. 2015). Yılmaz and Küçüksille (2015) in order to validate the performance of the enhanced SOBA, applied a constrained real-world problems and standard test functions. ...